• Assistant Professor, Computer Science & Engineering
Cheng Zhang

Educational Background

  • Postdoctoral Fellow, Robotics Institute, Carnegie Mellon University — 2022-2024
  • Ph.D., Computer Science and Engineering, The Ohio State University — 2022
  • M.S., Computer Science, Beijing University of Posts and Telecommunications — 2016
  • B.Eng., Computer Software, Tianjin University — 2013

Research Interests

    • Computer vision
    • Computer graphics
    • Machine learning
    • Artificial intelligence

Awards & Honors

  • NVIDIA Academic Grant Program Award – 2025
  • Best Paper Finalist, Institute of Electrical and Electronics Engineers/Computer Vision Foundation (IEEE/CVF) International Conference on Computer Vision (ICCV) – 2023
  • Graduate Research Award, The Ohio State University – 2022

Selected Publications

  • A.K. Monsefi, M. Khurana, R. Ramnath, A. Karpatne, W.L. Chao, C. Zhang, "TaxaDiffusion: Progressively Trained Diffusion Model for Fine-grained Species Generation", International Conference on Computer Vision (ICCV), 2025.
  • C. Zhang, Y. Wang, F. V. Carrasco, C. Wu, J. Yang, T. Beeler, F. De la Torre, "FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Images", ACM SIGGRAPH Asia, 2024.
  • Y. Kwon, B. Fang, Y. Lu, H Dong, C. Zhang, F. V. Carrasco, A. Mosella-Montoro, J. Xu, S. Takagi, D. Kim, A. Prakash, F. De la Torre, "Generalizable Human Gaussians for Sparse View Synthesis", European Conference on Computer Vision (ECCV), 2024.
  • C. Zhang, X. Chen, S. Chai, C. H. Wu, D. Lagun, T. Beeler, F. De la Torre, "ITI-GEN: Inclusive Text-to-Image Generation", International Conference on Computer Vision (ICCV), 2023.
  • T. Y. Pan, C. Zhang, Y. Li, H. Hu, D. Xuan, S. Changpinyo, B. Gong, W. L. Chao, "On Model Calibration for Long-Tailed Object Detection and Instance Segmentation", Advances in Neural Information Processing Systems (NeurIPS), 2021.